Description

Software engineer and PhD-trained software researcher with extensive experience in designing and developing scalable software solutions across academia and industry. Skilled in model-driven engineering, DSL design, AI/ML algorithms, and workflow automation. Passionate about solving complex engineering challenges and delivering practical, high-impact solutions. Seeking an impactful role in a dynamic environment to drive innovation and build next-generation systems.

Languages

English
Native or bilingual
Dutch
Basic
Azerbaijani
Native or bilingual
Persian
Native or bilingual
Turkish
Fluent

Workplace preferences

Can work on-site

Eindhoven (up to 50km)

Independent Collaboration
BioinformaticsResearcher
June 2025 - Today (1 year)
• • Protein Function Prediction (CAFA6) Collaborating with Chalmers University researchers on the CAFA6 competition, focus ing on protein function prediction using machine learning and bioinformatics.
Technologies: Python, ML, Bioinformatics, Data Analysis
Datory,
SoftwareEngineer - freelancer
June 2025 - Today (1 year)
Eindhoven, NB, Netherlands
• • AI-based automation platform Developing an AI-driven platform using agents and RAG to automate interview work flows, including question generation, candidate interaction, and result analysis. De signed modular services and APIs for maintainability. Technologies: Python,JavaScript, Streamlit, React, FastAPI, SQL, RAG, LLM
Eindhoven University of Technology,
Ph.D.Researcher
August 2019 - November 2025 (6 years and 3 months)
Eindhoven, NB, Netherlands
Research Led the development of a toolchain within the Eclipse Arrowhead IIoT framework, con sisting of model analytics, a model repository, and a visualization dashboard. Enabled engineers to search, inspect, and manage large model repositories more efficiently.
• • Clone detector for process models Developed a clone detection tool for business process models by extending the SAMOS
model analytics framework, enabling reuse and refactoring support for BPMN modelers.
• • Analysis of process models in open-source Developed a model analytics pipeline for characterizing business process models and clones on GitHub, uncovering key patterns and insights.
• • Recommenders for process model design Designed and implemented recommender systems using model similarity tools and LLMs to provide automated suggestions during BPMN process model design, lowering the en try barrier for new users.
Technologies: Java, Python, R, BPMN, SysML, ML, IR, NLP, Git, Elasticsearch, Kibana, Docker, GitHub, LLM